2.50
Hdl Handle:
http://hdl.handle.net/2436/3139
Title:
Can Google's PageRank be used to find the most important academic Web pages?
Authors:
Thelwall, Mike
Abstract:
Google's PageRank is an influential algorithm that uses a model of Web use that is dominated by its link structure in order to rank pages by their estimated value to the Web community. This paper reports on the outcome of applying the algorithm to the Web sites of three national university systems in order to test whether it is capable of identifying the most important Web pages. The results are also compared with simple inlink counts. It was discovered that the highest inlinked pages do not always have the highest PageRank, indicating that the two metrics are genuinely different, even for the top pages. More significantly, however, internal links dominated external links for the high ranks in either method and superficial reasons accounted for high scores in both cases. It is concluded that PageRank is not useful for identifying the top pages in a site and that it must be combined with a powerful text matching techniques in order to get the quality of information retrieval results provided by Google.
Citation:
Journal of Documentation, 59(2): 205-217
Publisher:
MCB UP Ltd
Issue Date:
2003
URI:
http://hdl.handle.net/2436/3139
DOI:
10.1108/00220410310463491
Additional Links:
http://www.emeraldinsight.com/10.1108/00220410310463491
Type:
Article
Language:
en
Description:
Main article
ISSN:
00220418,00000000
Appears in Collections:
Statistical Cybermetrics Research Group ; Statistical Cybermetrics Research Group

Full metadata record

DC FieldValue Language
dc.contributor.authorThelwall, Mike-
dc.date.accessioned2006-06-20T14:51:54Z-
dc.date.available2006-06-20T14:51:54Z-
dc.date.issued2003-
dc.identifier.citationJournal of Documentation, 59(2): 205-217en
dc.identifier.issn00220418,00000000-
dc.identifier.doi10.1108/00220410310463491-
dc.identifier.urihttp://hdl.handle.net/2436/3139-
dc.descriptionMain articleen
dc.description.abstractGoogle's PageRank is an influential algorithm that uses a model of Web use that is dominated by its link structure in order to rank pages by their estimated value to the Web community. This paper reports on the outcome of applying the algorithm to the Web sites of three national university systems in order to test whether it is capable of identifying the most important Web pages. The results are also compared with simple inlink counts. It was discovered that the highest inlinked pages do not always have the highest PageRank, indicating that the two metrics are genuinely different, even for the top pages. More significantly, however, internal links dominated external links for the high ranks in either method and superficial reasons accounted for high scores in both cases. It is concluded that PageRank is not useful for identifying the top pages in a site and that it must be combined with a powerful text matching techniques in order to get the quality of information retrieval results provided by Google.en
dc.format.extent274740 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoenen
dc.publisherMCB UP Ltden
dc.relation.urlhttp://www.emeraldinsight.com/10.1108/00220410310463491en
dc.subjectAlgorithmsen
dc.subjectEffectivenessen
dc.subjectInformation retrievalen
dc.subjectUniversitiesen
dc.subjectInterneten
dc.titleCan Google's PageRank be used to find the most important academic Web pages?en
dc.typeArticleen
dc.format.digYES-
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